Carlos joined TACC in 2009 as a Research Scientist in the Performance Evaluation and Optimization team within the HPC group. Before coming to TACC he worked at the Institute of High Performance Computing in Singapore, and taught numerical methods at the National University of Singapore for several years.

Selected Papers

J. Vienne, C. Rosales, K. Milfeld, Heterogeneous Computing with MPI. In J. Reinders and J. Jeers, High Performance Parallelism Pearls: Multicore and Many-core Programming Approaches, Morgan Kaufmann (2015)

H. Wang, S. Potluri, D. Bureddy, C. Rosales and D.K. Panda, GPU-aware MPI on RDMA-enabled clusters: Design, implementation and evaluation. IEEE Transactions on Parallel and Distributed Systems, 25(10): 2595-2605 (2014)

D. James, N. Wilkins-Diehr, V. Stodden, D. Colbry, C. Rosales et al., Standing Together for Reproducibility in Large-Scale Computing: Report on reproducibility@ XSEDE. arXiv preprint arXiv:1412.5557 (2014).

C. Rosales, Porting to the Intel Xeon Phi: Opportunities and Challenges. Extreme Scaling Workshop 2013 (XSCALE13), Boulder, CO (2013).

C. Rosales and D. S. Whyte, Dual Grid Lattice Boltzmann Method for Multiphase Flows. International Journal for Numerical Methods in Engineering 84: 1068–1084 (2010).

L. D. Vinh, C. Rosales, B. C. Khoo and J. Peraire, Numerical design of electrical-mechanical traps. Lab on a Chip 8: 755–763 (2008).